Monitoring

1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4client = ApifyClient("<YOUR_API_TOKEN>")
5
6# Prepare the Actor input
7run_input = {
8    "dashboardStatisticsFrequency": "Every day at noon",
9    "validationCheckOptions": """/* global ow */
10// The `ow` variable represents the ow validation variable. More at https://sindresorhus.com/ow/index.html
11 [
12    {
13        filter: \"us\", // matches all targets with \"us\" pattern
14        minItemCount: 5000,
15        schema: {
16            url: ow.string.url,
17            description: ow.string,
18        },
19    },
20    {
21        Ids: [\"A1b2C3d4\", \"B1A2d45\"], // matches 2 targets with specific IDs
22        schema: {
23            itemId: ow.number,
24            region: ow.string,
25        },
26    },
27]""",
28    "validationCheckFrequency": "Per run",
29    "duplicationCheckFrequency": "Per run",
30}
31
32# Run the Actor and wait for it to finish
33run = client.actor("apify/monitoring").call(run_input=run_input)
34
35# Fetch and print Actor results from the run's dataset (if there are any)
36print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
37for item in client.dataset(run["defaultDatasetId"]).iterate_items():
38    print(item)
39
40# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start